A novel automatic <scp>3D</scp> stitching algorithm for optical coherence tomography angiography and its application in dermatology

Yu-bo, JI; Zhou, Kanheng; Ibbotson, Sally H.; Wang, Ke; Li, Chunhui; Huang, Zhihong

doi:10.1002/jbio.202100152

Cited by 11 publications

(8 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Discussionmentioning

confidence: 99%

“…Finally, in the literature, there are reports assessing the impact of the 3D representation of macula blood vessels [25][26][27][28][29][30][49][50][51][52]. These methods were based on surface and volumetric rendering [25, 28-30, 49, 50, 52] of the original 3D OCTA volume or they interpolated the 3D representation from 2D OCTA B-scans [26,27,51]. They succeeded in generating a 3D depiction of the macula's volume [25][26][27][49][50][51], or they developed methods to generate a 3D shape model [28], map [29,52], and surfacing the macula vasculature [30].…”

Section: Discussionmentioning

confidence: 99%

“…These methods were based on surface and volumetric rendering [25, 28-30, 49, 50, 52] of the original 3D OCTA volume or they interpolated the 3D representation from 2D OCTA B-scans [26,27,51]. They succeeded in generating a 3D depiction of the macula's volume [25][26][27][49][50][51], or they developed methods to generate a 3D shape model [28], map [29,52], and surfacing the macula vasculature [30]. Similar to the OCTA quantitative metrics discussion in the preceding paragraph, the aim was to assess the integrity or the disruption of the macula blood vessels.…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, other researchers investigated the use of 3D volumetric assessment to generate a 3D volume of specified macula's zones (e.g. Fovea Plana) [25], 3D presentation of the entire macula's vessels [26,27,[49][50][51], 3D shape modeling of the macula's microvasculature [28,52], or 3D metrics of the macula's vessel density [29] and surface [30]. However, considering the 3D shape of the macula, displaying sequential OCTA frames within each macula's layers, and improving the display of vessels at deep regions (i.e.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Reconstruction and Visualization of 5μm Sectional Coronal Views for Macula Vasculature in OptoVue OCTA

et al. 2023

View full text Add to dashboard Cite

A Computerized Medical Image Processing (CMIP) method is proposed to address the current challenges of optical coherence tomography angiography (OCTA): (1) the need for observing the macula vasculature concerning natural curvature of the macula region; (2) the need for generating OCTA frames at successive small depths in all macula layers; and (3) the need for enhancing the visibility of blood vessels, particularly below the outer retina region. The proposed CMIP method involves image preprocessing, reconstruction, and enhancement stages. Twenty subjects were obtained from the OCTA500 dataset, which was obtained from the OptoVue OCTA machine. The 20 subjects comprise the two OCTA fields of view (FOV), right and left eyes (OD and OS), and five common macula disorders. The sequential enface OCTA images at 5µm macula depths were displayed. The presentation of the macula vasculature was enhanced at all depths. The resulting new ophthalmic views enable: (1) avoiding the superimposition of macula vasculature into a projection map; (2) enhancing the OCTA presentation of blood vessels; and (3) inspecting the macula's 3D oval-shaped. The proposed CMIP method can generate sectional macula coronal views (MCV) for every 5µm depth, clarifying the macula's curvature in a way that has not been presented in OCTA machines. Therefore, "tracking" the 3D propagation of the blood vessel network at all macula depths becomes possible. Furthermore, the blood vessels' display at all macula depths, including the deep choroid layers, is enhanced. The method yields futuristic ophthalmic advantages that would allow the physician to precisely inspect the 3D localization and diffusion of the macula disorders. The method is invariant to the OCTA's FOVs, macula disorder, and OD or OS eye.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reconstruction and Visualization of 5μm Sectional Coronal Views for Macula Vasculature in OptoVue OCTA

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Human skin data were collected in‐vivo using a lab‐built SS‐OCT 1310 nm system to test the performance of the proposed algorithm. The details of the SS‐OCT (Figure 4) setup as well as its performance parameters were described elsewhere [45]. The study was approved by the School of Science and Engineering Research Ethics Committee of the University of Dundee (No.…”

Section: Experiments Setupmentioning

confidence: 99%

A hand‐held optical coherence tomography angiography scanner based on angiography reconstruction transformer networks

Liao

Yang

Zhang

et al. 2023

Journal of Biophotonics

Self Cite

View full text Add to dashboard Cite

Optical coherence tomography angiography (OCTA) has successfully demonstrated its viability for clinical applications in dermatology. Due to the high optical scattering property of skin, extracting high‐quality OCTA images from skin tissues requires at least six‐repeated scans. While the motion artifacts from the patient and the free hand‐held probe can lead to a low‐quality OCTA image. Our deep‐learning‐based scan pipeline enables fast and high‐quality OCTA imaging with 0.3‐s data acquisition. We utilize a fast scanning protocol with a 60 μm/pixel spatial interval rate and introduce angiography‐reconstruction‐transformer (ART) for 4× super‐resolution of low transverse resolution OCTA images. The ART outperforms state‐of‐the‐art networks in OCTA image super‐resolution and provides a lighter network size. ART can restore microvessels while reducing the processing time by 85%, and maintaining improvements in structural similarity and peak‐signal‐to‐noise ratio. This study represents that ART can achieve fast and flexible skin OCTA imaging while maintaining image quality.

show abstract

Robot-Assisted Optical Coherence Tomography for Automatic Wide-Field Scanning

Li,

Fan,

Liao

2024

IFMBE Proceedings

View full text Add to dashboard Cite

A novel automatic 3D stitching algorithm for optical coherence tomography angiography and its application in dermatology

Abstract: Optical coherence tomography (OCT) and OCT angiography (OCTA) techniques offer numerous advantages in clinical skin applications but the field of view (FOV) of current commercial systems are relatively limited to cover the entire skin lesion.

Cited by 11 publications

References 45 publications

Reconstruction and Visualization of 5μm Sectional Coronal Views for Macula Vasculature in OptoVue OCTA

Reconstruction and Visualization of 5μm Sectional Coronal Views for Macula Vasculature in OptoVue OCTA

A hand‐held optical coherence tomography angiography scanner based on angiography reconstruction transformer networks

Robot-Assisted Optical Coherence Tomography for Automatic Wide-Field Scanning

Contact Info

Product

Resources

About